Ornith 1.5 35B A3B is a 35.95B-parameter mixture-of-experts model (3B active per token). At Q4_K_M it needs about 22.5 GB of memory. The NVIDIA RTX 5090 32GB has 30 GB usable, so it fits entirely in memory. Expect about 308 tokens/sec (261–354), with the first token after 0.3 s for a short prompt. This estimate is projected from the hardware specs; no benchmarks exist yet.
| Quantization | File size | Memory | Generation | First token | Source |
|---|---|---|---|---|---|
| Q4_K_M | 21.7 GB | Fits | 308 tok/s | 0.3 s | Projected |
| Q8_0 | 37.8 GB | Partial offload | 66 tok/s | 1.2 s | Projected |
| FP16 | 72.0 GB | Doesn't fit | Won't run | — | — |
All models on the NVIDIA RTX 5090 32GB · Ornith 1.5 35B A3B on all hardware
Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.